langchain-enterprise-rbac
LangChain Enterprise RBAC
Contents
Overview
Implement role-based access control (RBAC) for LangChain applications with multi-tenant support, model access control, and usage quotas.
Prerequisites
- LangChain application with user authentication
- Identity provider (Auth0, Okta, Azure AD)
- Understanding of RBAC concepts
Instructions
Step 1: Define Permission Model
Create Permission enum with chain, model, feature, and admin permissions. Define roles (viewer, user, power_user, admin) mapping to permission sets.
Step 2: Implement User and Tenant Management
Create Tenant and User models with role-based permission resolution. Users belong to tenants with monthly token limits.
Step 3: Enforce Permissions
Build PermissionChecker with FastAPI decorators (@require_permission) that validate user permissions before chain execution.
Step 4: Control Model Access
Implement ModelAccessController that restricts LLM model access based on user permissions and tenant restrictions.
Step 5: Isolate Tenants
Use context variables (ContextVar) for tenant isolation. Implement TenantScopedVectorStore that filters by tenant ID.
Step 6: Manage Usage Quotas
Build UsageQuotaManager tracking per-tenant token usage with monthly resets and reporting.
See detailed implementation for complete RBAC code.
Output
- Permission model with roles
- User and tenant management
- Model access control
- Tenant isolation
- Usage quotas
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| 403 Forbidden | Insufficient permissions | Check user role assignment |
| Tenant data leak | Missing isolation | Verify ContextVar propagation |
| Quota exceeded | High usage | Upgrade tenant token limit |
Examples
Basic usage: Apply langchain enterprise rbac to a standard project setup with default configuration options.
Advanced scenario: Customize langchain enterprise rbac for production environments with multiple constraints and team-specific requirements.
Resources
Next Steps
Use langchain-data-handling for data privacy controls.